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SciML / DifferentialEquations.jl

Sponsor
Star 2.2k

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

python r julia ode dde partial-differential-equations dynamical-systems differential-equations differentialequations sde pde dae spde stochastic-differential-equations delay-differential-equations stochastic-processes differential-algebraic-equations scientific-machine-learning neural-differential-equations sciml
  • Updated Jan 11, 2022
  • Julia

SciML / ModelingToolkit.jl

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Star 968
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No easy to read label for plot without explicit vars argument

1
traversaro
traversaro commented Jan 23, 2022

If I run the copy&paste examples, such as https://mtk.sciml.ai/stable/tutorials/acausal_components/ :

using ModelingToolkit, Plots, DifferentialEquations

@variables t
@connector function Pin(;name)
    sts = @variables v(t)=1.0 i(t)=1.0 [connect = Flow]
    ODESystem(Equation[], t, sts, []; name=name)
end

function Ground(;name)
    @named g = Pin()
    eqs = [g.v ~ 0]
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SciML / DiffEqBase.jl

Sponsor
Star 182

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

ode dde partial-differential-equations differential-equations ordinary-differential-equations differentialequations sde pde dae stochastic-differential-equations delay-differential-equations differential-algebraic-equations neural-ode scientific-machine-learning neural-differential-equations sciml
  • Updated Apr 5, 2022
  • Julia

SciML / Sundials.jl

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Star 159

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

julia clang ode ida differential-equations ordinary-differential-equations differentialequations dae sundials cvode sensitivity-analysis hacktoberfest differential-algebraic-equations kinsol idas scientific-machine-learning hybrid-differential-equation arkode sundials-libraries sciml
  • Updated Mar 8, 2022
  • Julia

SciML / DiffEqBayes.jl

Sponsor
Star 102

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

julia ode dde probabilistic-programming differential-equations stan ordinary-differential-equations sde dae stochastic-differential-equations neural-ode scientific-machine-learning neural-differential-equations scientific-ml scientific-ai sciml
  • Updated Dec 3, 2021
  • Julia

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